whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Generate summaries of your datasets to track changes and visualize data quality over time.
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Free · no card · unsubscribe anytimeAn open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
whylogs has 2.8k stars on GitHub. It has been forked 143 times. whylogs is written mainly in Jupyter Notebook. It has been in active development since 2020. whylogs is available under the Apache-2.0 license. Its main topics are ai-pipelines, analytics, approximate-statistics, calculate-statistics.
What is whylogs?
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Is whylogs open source?
whylogs is an open-source project. It is released under the Apache-2.0 license.
Is whylogs free?
Yes. whylogs is free and open source — you can use, modify and self-host it.
What license does whylogs use?
whylogs is available under the Apache-2.0 license.
What language is whylogs written in?
whylogs is written mainly in Jupyter Notebook.
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